IOWA Wild

GP: 62 | W: 25 | L: 25 | OTL: 12 | P: 62
GF: 167 | GA: 178 | PP%: 15.82% | PK%: 76.50%
DG: Martin Gagnon | Morale : 99 | Moyenne d'Équipe : 64
Prochain matchs #798 vs LEHIGH VALLEY Phantoms
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Owen Tippett0X100.007145896579828164596263666561648698690
2Pierre Engvall0X100.006948896692757365616364666867635999690
3Yakov Trenin0X100.006448886581757366706362646665637199680
4Iiro Pakarinen0X100.007241826778747559305963686955534297660
5Joseph Cramarossa0X100.005970665773898656525454555775685599650
6Yannick Veilleux0X100.006452815879807857525559565873675298650
7Tanner Kaspick0X100.006147885574848256595354575563625899630
8Peter Holland0XX100.005689607081505070706565506561537099610
9Matej Stransky (R)0X100.005338706980505761305259515760507198590
10Stanislav Galiev0X100.004935787074474060305254565562516399560
11Matt Bartkowski0X100.006247876177838059305858625180725397680
12Mark Alt0X100.006547895987767458305757605377795799670
13Keegan Lowe0X100.006356815779878956305551544673775699660
14Konrad Abeltshauser (R)0X100.004935786088454049303428554860557199500
Rayé
MOYENNE D'ÉQUIPE100.00615080638071706045565759586763629964
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Eric Comrie100.00756866727473757473757469736699660
2Antoine Bibeau100.00706058866968706968706971755998640
Rayé
MOYENNE D'ÉQUIPE100.0073646279727173727173727074639965
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx68686868737364CAN533300,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Pierre EngvallIOWA Wild (MIN)LW622730575260113992225918512.16%46130321.0248123817400051588367.07%8200010.8707000555
2Owen TippettIOWA Wild (MIN)RW622727542300128852376917911.39%23121919.67369421780002821352.31%19500210.8906000674
3Yakov TreninIOWA Wild (MIN)C62163854166036117197641428.12%11105116.9641216371450003882058.84%122200011.0315000251
4Iiro PakarinenIOWA Wild (MIN)RW622920491718089842135913613.62%1095915.47871543147000003039.73%7300011.0223000432
5Yannick VeilleuxIOWA Wild (MIN)LW627293617220424810533936.67%697615.753912231470001171043.24%7400000.7412000011
6Matt BartkowskiIOWA Wild (MIN)D6262733-234094577733597.79%131172727.87279291590000141120.00%000000.3800000122
7Keegan LoweIOWA Wild (MIN)D6282331-17201343657294214.04%125166526.86224241540000115200.00%000000.3700000132
8Mark AltIOWA Wild (MIN)D6262430044081657423488.11%104164526.54415341520000123100.00%000000.3600000020
9Peter HollandIOWA Wild (MIN)C/LW62101828-4260666313542857.41%12103716.7411213440001740151.02%4900000.5413000202
10Joseph CramarossaIOWA Wild (MIN)C6251520936075717121627.04%3097015.660113250001412047.87%72900000.4102000010
11Matej StranskyIOWA Wild (MIN)RW62910192100253710129818.91%1462910.1500001000000236.67%3000000.6000000100
12Tanner KaspickIOWA Wild (MIN)C627815-13220466510435716.73%1168811.1100038000001151.86%64400000.4400000202
13Stanislav GalievIOWA Wild (MIN)RW625813-1260216212232854.10%1066810.7900000000000043.18%4400000.3900000011
14Konrad AbeltshauserIOWA Wild (MIN)D6227992805123326126.25%72133621.550118130000095000.00%000000.1300000000
Stats d'équipe Total ou en Moyenne8681642844484538001001912174753412809.39%6051587918.29315586297147000013940221253.31%314200240.56528000243022
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Eric ComrieIOWA Wild (MIN)622525120.9172.6637470216620120140.74335620457
Stats d'équipe Total ou en Moyenne622525120.9172.6637470216620120140.74335620457


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Antoine BibeauIOWA Wild (MIN)G261994-05-01No97 Kg191 CMNoNoNo3Pro & Farm750,000$199,541$500,000$133,027$0$0$No750,000$750,000$Lien
Eric ComrieIOWA Wild (MIN)G251995-07-06No80 Kg185 CMNoNoNo6Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Iiro PakarinenIOWA Wild (MIN)RW291991-08-25No96 Kg185 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Joseph CramarossaIOWA Wild (MIN)C271992-10-26No87 Kg183 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Keegan LoweIOWA Wild (MIN)D271993-03-29No87 Kg188 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Konrad AbeltshauserIOWA Wild (MIN)D271992-09-02Yes102 Kg196 CMNoNoNo2Pro & Farm1,500,000$399,082$1,500,000$399,082$0$0$No1,500,000$
Mark AltIOWA Wild (MIN)D281991-10-18No91 Kg193 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$Lien
Matej StranskyIOWA Wild (MIN)RW271993-07-11Yes95 Kg191 CMNoNoNo3Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$
Matt BartkowskiIOWA Wild (MIN)D321988-06-04No90 Kg185 CMNoNoNo4Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$750,000$Lien
Owen TippettIOWA Wild (MIN)RW211999-02-16No94 Kg185 CMNoNoNo3Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$Lien
Peter HollandIOWA Wild (MIN)C/LW291991-01-14No93 Kg188 CMNoNoNo3Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$Lien
Pierre EngvallIOWA Wild (MIN)LW241996-05-31No97 Kg196 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Stanislav GalievIOWA Wild (MIN)RW281992-01-17No90 Kg188 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$No
Tanner KaspickIOWA Wild (MIN)C221998-01-28No91 Kg183 CMNoNoNo1Pro & Farm750,000$199,541$750,000$199,541$0$0$NoLien
Yakov TreninIOWA Wild (MIN)C231997-01-13No91 Kg188 CMNoNoNo3Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$750,000$Lien
Yannick VeilleuxIOWA Wild (MIN)LW271993-02-22No89 Kg188 CMNoNoNo2Pro & Farm750,000$199,541$750,000$199,541$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1626.3892 Kg188 CM2.56796,875$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pierre EngvallOwen Tippett31122
2Yannick VeilleuxYakov TreninIiro Pakarinen26122
3Peter HollandJoseph CramarossaMatej Stransky23122
4Tanner KaspickStanislav Galiev20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt31122
2Keegan LoweKonrad Abeltshauser26122
3Matt BartkowskiMark Alt23122
4Keegan LoweKonrad Abeltshauser20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pierre EngvallOwen Tippett55122
2Yannick VeilleuxYakov TreninIiro Pakarinen45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Pierre Engvall55122
2Owen TippettYakov Trenin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Matt BartkowskiMark Alt55122
2Pierre Engvall45122Keegan LoweKonrad Abeltshauser45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pierre Engvall55122
2Owen TippettYakov Trenin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pierre EngvallOwen TippettMatt BartkowskiMark Alt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pierre EngvallOwen TippettMatt BartkowskiMark Alt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Cramarossa, Tanner Kaspick, Peter HollandJoseph Cramarossa, Tanner KaspickPeter Holland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Bartkowski, Mark Alt, Keegan LoweMatt BartkowskiMark Alt, Keegan Lowe
Tirs de Pénalité
, Pierre Engvall, Owen Tippett, Yakov Trenin, Iiro Pakarinen
Gardien
#1 : Eric Comrie, #2 :
Lignes d'Attaque Perso. en Prol.
, Pierre Engvall, Owen Tippett, Yakov Trenin, Iiro Pakarinen, Yannick Veilleux, Yannick Veilleux, Joseph Cramarossa, Tanner Kaspick, Peter Holland, Matej Stransky
Lignes de Défense Perso. en Prol.
Matt Bartkowski, Mark Alt, Keegan Lowe, Konrad Abeltshauser,


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total62222501725167178-113013110122178762329140050489102-13620.500167292459426843536175961656756942203260839010041963115.82%1834376.50%0756190739.64%763213535.74%32590036.11%13639491646446766367
_Since Last GM Reset62222501725167178-113013110122178762329140050489102-13620.500167292459426843536175961656756942203260839010041963115.82%1834376.50%0756190739.64%763213535.74%32590036.11%13639491646446766367
_Vs Conference3412150041282104-221575001114044-419510003014260-18320.471821532352068435369966165675694211433442245741181714.41%1052774.29%0756190739.64%763213535.74%32590036.11%13639491646446766367
_Vs Division1877001114551-61022000112527-2855001002024-4180.500458212711684353651961656756942590181130303681116.18%621772.58%0756190739.64%763213535.74%32590036.11%13639491646446766367

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6262L116729245917592032608390100442
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6222251725167178
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30131112217876
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32914050489102
Derniers 10 Matchs
WLOTWOTL SOWSOL
440101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1963115.82%1834376.50%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
616567569426843536
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
756190739.64%763213535.74%32590036.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13639491646446766367


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-08-024Marlies de Toronto1IOWA Wild4WSommaire du Match
3 - 2020-08-0425IOWA Wild2HOLLYWOOD Oscar1WSommaire du Match
4 - 2020-08-0531IOWA Wild3MILWAUKEE Admirals4LXSommaire du Match
5 - 2020-08-0644Quebec Nordiques1IOWA Wild4WSommaire du Match
6 - 2020-08-0757MONT-LAURIER Sommet4IOWA Wild3LXXSommaire du Match
7 - 2020-08-0862IOWA Wild2Binghampton Devils3LXSommaire du Match
9 - 2020-08-1084IOWA Wild2LEHIGH VALLEY Phantoms4LSommaire du Match
10 - 2020-08-1193VICTORIAVILLE Tigres5IOWA Wild2LSommaire du Match
11 - 2020-08-12108IOWA Wild1STOCKTON Flames5LSommaire du Match
12 - 2020-08-13120IOWA Wild5Syracruse Crunch3WSommaire du Match
13 - 2020-08-14126CHICAGO Wolves2IOWA Wild6WSommaire du Match
14 - 2020-08-15138IOWA Wild1PROVIDENCE Bruins3LSommaire du Match
16 - 2020-08-17151STOCKTON Flames4IOWA Wild0LSommaire du Match
18 - 2020-08-19168IOWA Wild1HOLLYWOOD Oscar2LSommaire du Match
19 - 2020-08-20177IOWA Wild4ROCKFORD IceHogs5LXXSommaire du Match
20 - 2020-08-21189LAVAL Rockets0IOWA Wild2WSommaire du Match
21 - 2020-08-22202BELLEVILLE Senators2IOWA Wild3WSommaire du Match
23 - 2020-08-24219HERSEY Bears1IOWA Wild3WSommaire du Match
24 - 2020-08-25238ROCKFORD IceHogs2IOWA Wild3WXSommaire du Match
25 - 2020-08-26249IOWA Wild3Syracruse Crunch2WSommaire du Match
26 - 2020-08-27258IOWA Wild1Binghampton Devils4LSommaire du Match
27 - 2020-08-28275Manitoba Moose1IOWA Wild3WSommaire du Match
29 - 2020-08-30287IOWA Wild2LEHIGH VALLEY Phantoms1WSommaire du Match
31 - 2020-09-01300IOWA Wild3UTICA Comets4LSommaire du Match
32 - 2020-09-02307WILKIES-BARRIE Penguins5IOWA Wild4LXSommaire du Match
33 - 2020-09-03325MONT-LAURIER Sommet2IOWA Wild3WSommaire du Match
34 - 2020-09-04337IOWA Wild1BRIDGEPORT Sound Tigers2LXXSommaire du Match
35 - 2020-09-05345IOWA Wild4Marlies de Toronto2WSommaire du Match
37 - 2020-09-07357IOWA Wild3MONT-LAURIER Sommet1WSommaire du Match
38 - 2020-09-08367STOCKTON Flames2IOWA Wild3WXXSommaire du Match
40 - 2020-09-10383COLORADO Eagles4IOWA Wild3LXSommaire du Match
41 - 2020-09-11403CHICAGO Wolves3IOWA Wild2LSommaire du Match
42 - 2020-09-12414IOWA Wild2Binghampton Devils4LSommaire du Match
44 - 2020-09-14427IOWA Wild0BELLEVILLE Senators2LSommaire du Match
45 - 2020-09-15435Quebec Nordiques2IOWA Wild4WSommaire du Match
46 - 2020-09-16450IOWA Wild3BROOKLYN Wolfpack5LSommaire du Match
48 - 2020-09-18461IOWA Wild3Quebec Nordiques4LSommaire du Match
49 - 2020-09-19471TUSCON Roadrunners1IOWA Wild0LSommaire du Match
50 - 2020-09-20487Manitoba Moose3IOWA Wild1LSommaire du Match
52 - 2020-09-22500IOWA Wild3MILWAUKEE Admirals4LSommaire du Match
53 - 2020-09-23511Marlies de Toronto4IOWA Wild1LSommaire du Match
54 - 2020-09-24529IOWA Wild2PV Sharapovas5LR3Sommaire du Match
56 - 2020-09-26539MILWAUKEE Admirals0IOWA Wild1WXXSommaire du Match
57 - 2020-09-27556IOWA Wild2PV Sharapovas3LXR3Sommaire du Match
58 - 2020-09-28565IOWA Wild8SAN DIEGO Gulls1WSommaire du Match
59 - 2020-09-29575HOLLYWOOD Oscar1IOWA Wild3WSommaire du Match
60 - 2020-09-30590IOWA Wild2Manitoba Moose3LXXSommaire du Match
61 - 2020-10-01598UTICA Comets4IOWA Wild6WSommaire du Match
63 - 2020-10-03618IOWA Wild3HOLLYWOOD Oscar4LXSommaire du Match
64 - 2020-10-04622UTICA Comets3IOWA Wild1LSommaire du Match
65 - 2020-10-05643BELLEVILLE Senators3IOWA Wild2LSommaire du Match
67 - 2020-10-07661PV Sharapovas8IOWA Wild2LR3Sommaire du Match
68 - 2020-10-08670IOWA Wild3STOCKTON Flames4LSommaire du Match
69 - 2020-10-09684IOWA Wild3COLORADO Eagles2WSommaire du Match
70 - 2020-10-10696LAVAL Rockets3IOWA Wild1LSommaire du Match
72 - 2020-10-12715Binghampton Devils1IOWA Wild3WSommaire du Match
73 - 2020-10-13725IOWA Wild3ROCKFORD IceHogs4LXSommaire du Match
74 - 2020-10-14733IOWA Wild8CHICAGO Wolves2WSommaire du Match
75 - 2020-10-15745IOWA Wild3BRIDGEPORT Sound Tigers4LXXSommaire du Match
77 - 2020-10-17753PROVIDENCE Bruins3IOWA Wild2LSommaire du Match
79 - 2020-10-19773BROOKLYN Wolfpack1IOWA Wild3WSommaire du Match
80 - 2020-10-20787IOWA Wild3LEHIGH VALLEY Phantoms5LSommaire du Match
81 - 2020-10-21798LEHIGH VALLEY Phantoms-IOWA Wild-
82 - 2020-10-22810IOWA Wild-PROVIDENCE Bruins-
83 - 2020-10-23824IOWA Wild-HERSEY Bears-
84 - 2020-10-24832ROCKFORD IceHogs-IOWA Wild-
86 - 2020-10-26850IOWA Wild-VICTORIAVILLE Tigres-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27858TUSCON Roadrunners-IOWA Wild-
88 - 2020-10-28873IOWA Wild-TUSCON Roadrunners-
89 - 2020-10-29882VICTORIAVILLE Tigres-IOWA Wild-
91 - 2020-10-31902BROOKLYN Wolfpack-IOWA Wild-
93 - 2020-11-02924COLORADO Eagles-IOWA Wild-
94 - 2020-11-03935IOWA Wild-HERSEY Bears-
96 - 2020-11-05949IOWA Wild-WILKIES-BARRIE Penguins-
97 - 2020-11-06958Syracruse Crunch-IOWA Wild-
98 - 2020-11-07969IOWA Wild-LAVAL Rockets-
99 - 2020-11-08976IOWA Wild-WILKIES-BARRIE Penguins-
100 - 2020-11-09987SAN DIEGO Gulls-IOWA Wild-
104 - 2020-11-131013SAN DIEGO Gulls-IOWA Wild-
107 - 2020-11-161034BRIDGEPORT Sound Tigers-IOWA Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
971,775$ 1,275,000$ 1,250,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 969,022$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 29 11,697$ 339,213$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
33825118017054471552924127901301216751414124900404231801511024478111258024235131802421913451429143426189358364415212144320.09%2984883.89%31740272663.83%1135216252.50%795124963.65%261020701487444868480
3462222501725167178-113013110122178762329140050489102-1362167292459426843536175961656756942203260839010041963115.82%1834376.50%0756190739.64%763213535.74%32590036.11%13639491646446766367
Total Saison Régulière14473430214210614333281714020025222941511437333230090832018213816461411031717426303174133859781961199620036839251191103425254107418.05%4819181.08%32496463353.87%1898429744.17%1120214952.12%3974301931348901635848
Séries
33734000001718-133000000106440400000712-561730471058401676753452231655810922313.64%26388.46%09020144.78%12326646.24%489848.98%14798193528940
Total Séries734000001718-133000000106440400000712-561730471058401676753452231655810922313.64%26388.46%09020144.78%12326646.24%489848.98%14798193528940